A simplified analytical model to simulate constrained recovery mechanisms of SMA rings exhibiting two-way shape memory effect
Source abstract
Abstract
Shape memory alloys (SMAs) with shape recovery capabilities have been investigated recently at the European Organization for Nuclear Research (CERN) to develop ring-shaped pipe couplers for vacuum applications. SMA couplers exploit the One-Way and Two-Way Shape Memory Effect (OW- and TW-SME) to mount/dismount vacuum pipe, by temperature variations. A phenomenological analytical model based on simplified elastic-plastic axisymmetric theory has been developed and implemented in a commercial software to simulate biaxial constrained recovery mechanisms in thick-walled SMA rings with rectangular cross section. The model is particularly useful to predict the stress field in the SMA coupler as well as the contact pressure developed at the SMA ring/pipe interface during thermal mounting/dismounting operations, knowing their initial geometry and material properties. The predictions of the analytical model have been compared with experimental data and Finite Element (FE) simulations based on a user-defined material routine.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Shape Memory Alloy Transformations
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
European Organization for Nuclear Research (CERN), Geneve, Switzerland
Department of Mechanical, Energy and Management Engineering, University of Calabria, Rende, Italy
References (58)
Show source-provided references
1. 10.1016/j.msea.2012.10.00910.1016/j.msea.2012.10.009 ↗
2. 10.1002/nme.108610.1002/nme.1086 ↗
3. 10.1016/j.ijplas.2006.02.01210.1016/j.ijplas.2006.02.012 ↗
4. Besseghini S, Businaro TV, Ceresara S, et al. (1996) Development of a NiTi shape memory alloy vacuum tight. Fusion Technology 2: 1645–1648.
5. Borden T (1991) Shape-memory alloys: Forming a tight fit. Mechanical Engineering 10: 67–72.
6. Cross WB Kariotis AH Stimler FJ (1969) Nitinol characterization study. NASA Report (No. GER-14188).
7. Duerig T, Melton K, Stöckel D, et al. (1990) Engineering Aspects of Shape Memory. London: Butterworth-Heinemann, pp.3–20.
8. 10.1007/s40830-017-0133-010.1007/s40830-017-0133-0 ↗
9. 10.1007/s11661-019-05533-110.1007/s11661-019-05533-1 ↗
10. 10.1016/0036-9748(86)90423-010.1016/0036-9748(86)90423-0 ↗
11. 10.1177/1045389X22114766510.1177/1045389X221147665 ↗
12. 10.1016/j.ijplas.2019.01.00710.1016/j.ijplas.2019.01.007 ↗
13. Jackson CM, Wagner HM, Wasilewski RJ (1972) 55-Nitinol-the alloy with a memory: It’s physical metallurgy properties, and applications. NASA SP-5110. NASA Special Publication 5110.
14. 10.1016/j.matdes.2013.11.08410.1016/j.matdes.2013.11.084 ↗
15. 10.1016/B978-0-7506-1009-4.50016-010.1016/B978-0-7506-1009-4.50016-0 ↗
16. 10.1016/S0029-5493(97)00057-510.1016/S0029-5493(97)00057-5 ↗
17. 10.1016/j.mechmat.2003.08.00610.1016/j.mechmat.2003.08.006 ↗
18. 10.1007/s00707-015-1433-010.1007/s00707-015-1433-0 ↗
19. 10.1016/S0749-6419(00)00005-X10.1016/S0749-6419(00)00005-X ↗
20. 10.1016/j.ijmecsci.2014.06.01310.1016/j.ijmecsci.2014.06.013 ↗
21. 10.32604/cmes.2013.094.23910.32604/cmes.2013.094.239 ↗
22. 10.1016/S1359-6454(98)00325-510.1016/S1359-6454(98)00325-5 ↗
23. 10.1016/S0925-8388(98)00500-310.1016/S0925-8388(98)00500-3 ↗
24. 10.1016/0020-7683(95)00082-810.1016/0020-7683(95)00082-8 ↗
25. 10.1016/j.jmatprotec.2011.10.02610.1016/j.jmatprotec.2011.10.026 ↗
26. 10.2320/matertrans.47.72410.2320/matertrans.47.724 ↗
27. 10.1007/s00419-010-0468-x10.1007/s00419-010-0468-x ↗
28. 10.1177/1045389X1667929610.1177/1045389X16679296 ↗
29. 10.1016/j.matdes.2016.11.10110.1016/j.matdes.2016.11.101 ↗
30. 10.1116/1.497804410.1116/1.4978044 ↗
31. 10.1088/1361-665X/ab0caa10.1088/1361-665X/ab0caa ↗
32. 10.1177/1045389X21105721510.1177/1045389X211057215 ↗
33. 10.1088/1361-665X/ac699910.1088/1361-665X/ac6999 ↗
34. 10.1016/B978-0-12-819264-1.00025-X10.1016/B978-0-12-819264-1.00025-X ↗
35. 10.13182/FST86-A2470610.13182/FST86-A24706 ↗
36. 10.1016/0920-3796(89)90099-910.1016/0920-3796(89)90099-9 ↗
37. 10.1016/j.pmatsci.2004.10.00110.1016/j.pmatsci.2004.10.001 ↗
38. Perkins J (2012) Shape memory effects in alloys. In: Perkins J (ed.) Springer Science & Business Media. New York, NY: Springer.
39. 10.1016/B978-0-7506-1009-4.50021-410.1016/B978-0-7506-1009-4.50021-4 ↗
40. 10.1177/1045389X1142985210.1177/1045389X11429852 ↗
41. 10.1016/B978-0-7506-1009-4.50014-710.1016/B978-0-7506-1009-4.50014-7 ↗
42. 10.1016/j.ijsolstr.2018.06.03410.1016/j.ijsolstr.2018.06.034 ↗
43. 10.1016/j.mechmat.2019.10308510.1016/j.mechmat.2019.103085 ↗
44. 10.1016/S1359-6462(98)00155-910.1016/S1359-6462(98)00155-9 ↗
45. 10.1007/s40830-019-00250-510.1007/s40830-019-00250-5 ↗
46. 10.1016/j.pmatsci.2018.07.00310.1016/j.pmatsci.2018.07.003 ↗
47. 10.1016/S0921-5093(00)00816-910.1016/S0921-5093(00)00816-9 ↗
48. 10.1016/S0997-7538(98)80005-310.1016/S0997-7538(98)80005-3 ↗
49. Stalmans R, Van Humbeeck J, Delaey L (1995) Thermodynamic modelling of shape memory behaviour: Some examples. Le Journal de Physique IV 5(C8): C8-203.
50. Stalmans R, Van Humbeeck J, Delaey L (1997) Generation of recovery stresses: Thermodynamic modelling and experimental verification. Journal de Physique IV 7(C5): C5–47.
51. 10.1177/1045389X1773092210.1177/1045389X17730922 ↗
52. 10.1115/IMECE2012-8877110.1115/IMECE2012-88771 ↗
53. 10.1080/15376494.2012.69759910.1080/15376494.2012.697599 ↗
54. 10.1177/1045389X0708237810.1177/1045389X07082378 ↗
55. 10.1088/0964-1726/12/5/30310.1088/0964-1726/12/5/303 ↗
56. 10.1016/S0167-577X(02)01014-510.1016/S0167-577X(02)01014-5 ↗
57. 10.1016/j.ijsolstr.2020.03.00910.1016/j.ijsolstr.2020.03.009 ↗
58. 10.1177/1045389X970080040810.1177/1045389X9700800408 ↗